| 59 | } |
| 60 | |
| 61 | af_err af_anisotropic_diffusion(af_array* out, const af_array in, |
| 62 | const float dt, const float K, |
| 63 | const unsigned iterations, |
| 64 | const af_flux_function fftype, |
| 65 | const af_diffusion_eq eq) { |
| 66 | try { |
| 67 | const ArrayInfo& info = getInfo(in); |
| 68 | |
| 69 | const af::dim4& inputDimensions = info.dims(); |
| 70 | const af_dtype inputType = info.getType(); |
| 71 | const unsigned inputNumDims = inputDimensions.ndims(); |
| 72 | |
| 73 | DIM_ASSERT(1, (inputNumDims >= 2)); |
| 74 | |
| 75 | ARG_ASSERT(3, (K > 0 || K < 0)); |
| 76 | ARG_ASSERT(4, (iterations > 0)); |
| 77 | |
| 78 | const af_flux_function F = |
| 79 | (fftype == AF_FLUX_DEFAULT ? AF_FLUX_EXPONENTIAL : fftype); |
| 80 | |
| 81 | auto input = castArray<float>(in); |
| 82 | |
| 83 | af_array output = nullptr; |
| 84 | switch (inputType) { |
| 85 | case f64: |
| 86 | output = diffusion<double>(input, dt, K, iterations, F, eq); |
| 87 | break; |
| 88 | case f32: |
| 89 | case s32: |
| 90 | case u32: |
| 91 | case s16: |
| 92 | case u16: |
| 93 | case s8: |
| 94 | case u8: |
| 95 | output = diffusion<float>(input, dt, K, iterations, F, eq); |
| 96 | break; |
| 97 | default: TYPE_ERROR(1, inputType); |
| 98 | } |
| 99 | std::swap(*out, output); |
| 100 | } |
| 101 | CATCHALL; |
| 102 | |
| 103 | return AF_SUCCESS; |
| 104 | } |
no test coverage detected